mirror of
https://github.com/NVIDIA/cutlass.git
synced 2026-05-05 06:01:17 +00:00
67 lines
2.4 KiB
Python
67 lines
2.4 KiB
Python
# Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: BSD-3-Clause
|
|
|
|
# Redistribution and use in source and binary forms, with or without
|
|
# modification, are permitted provided that the following conditions are met:
|
|
|
|
# 1. Redistributions of source code must retain the above copyright notice, this
|
|
# list of conditions and the following disclaimer.
|
|
|
|
# 2. Redistributions in binary form must reproduce the above copyright notice,
|
|
# this list of conditions and the following disclaimer in the documentation
|
|
# and/or other materials provided with the distribution.
|
|
|
|
# 3. Neither the name of the copyright holder nor the names of its
|
|
# contributors may be used to endorse or promote products derived from
|
|
# this software without specific prior written permission.
|
|
|
|
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
|
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
|
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
|
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
|
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
|
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
|
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
|
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
|
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
|
|
|
|
import pytest
|
|
import torch
|
|
|
|
import cutlass_api
|
|
from cutlass_api.utils import device_cc
|
|
from cutlass_api.config import GlobalOptions
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"M, N",
|
|
[
|
|
(256, 512),
|
|
(1024, 8192),
|
|
],
|
|
)
|
|
@pytest.mark.parametrize(
|
|
"dtype",
|
|
[
|
|
torch.float32,
|
|
torch.float16,
|
|
],
|
|
)
|
|
def test_elementwise_add(M: int, N: int, dtype: torch.dtype, fixture_toggle_tvm_ffi):
|
|
A = torch.randint(-1, 2, (M, N), device="cuda", dtype=dtype)
|
|
B = torch.randint(-1, 2, (M, N), device="cuda", dtype=dtype)
|
|
D = torch.empty((M, N), device="cuda", dtype=dtype)
|
|
|
|
args = cutlass_api.arguments.ElementwiseArguments(A=A, B=B, out=D)
|
|
kernels = cutlass_api.get_kernels(args)
|
|
|
|
assert len(kernels) > 0
|
|
kernel = kernels[0]
|
|
kernel.run(args)
|
|
|
|
reference = A + B
|
|
|
|
assert torch.allclose(D, reference)
|